Not Accounting for Bias in AI Is Reckless - Dataconomy

I'll never forget my "aha" moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn't the best in class at returning "accurate" tags for images, and we needed to improve it. I was nervous about the possibility of bias creeping into our models. Bias in Machine Learning (ML) models is the exact sort of problem the ML community has seen time and again, from poor facial recognition of diverse individuals to an AI beauty pageant gone awry and countless other instances.